smith-clarify
SkillDev toolsIdentify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the smith-clarify skill
What this skill tells your AI
The instructions your AI receives, as published by attckdigital/smith in skills/smith-clarify/SKILL.md and read by ahel’s review.
Workflow requirement (Smith 20+): This skill must be invoked from inside an active top-level workflow (
/smith-new,/smith-bugfix,/smith-debug,/smith-build). The workflow-gate hook will block standalone invocation. To use this skill standalone, start a top-level workflow first.
Vault Logging
Throughout this action, log significant events to the vault session log. Read the session log path from .smith/vault/.current-session. If the file is missing or the vault is not initialized, skip all logging silently.
Append entries using this format:
### [HH:MM:SS] /smith-clarify <event>
**User Request:**
> <verbatim user message that triggered this action>
**Synthesized Input:** <brief summary>
**Outcome:** <what happened>
**Artifacts:** <files modified>
**Systems affected:** <system IDs>
Log at these points:
- On invocation — which spec is being clarified (feature name and path)
- After questions asked — number of questions, brief topic summary for each
- After answers received — decision summary for each answered question (topic + chosen option)
- After spec updates — which sections of the spec were updated based on answers
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Outline
Goal: Detect and reduce ambiguity or missing decision points in the active feature specification and record the clarifications directly in the spec file.
Note: This clarification workflow is expected to run (and be completed) BEFORE invoking /smith-plan. If the user explicitly states they are skipping clarification (e.g., exploratory spike), you may proceed, but must warn that downstream rework risk increases.
Execution steps:
-
Run
.specify/scripts/bash/check-prerequisites.sh --json --paths-onlyfrom repo root once (combined--json --paths-onlymode /-Json -PathsOnly). Parse minimal JSON payload fields:FEATURE_DIRFEATURE_SPEC- (Optionally capture
IMPL_PLAN,TASKSfor future chained flows.) - If JSON parsing fails, abort and instruct user to re-run
/smith-specifyor verify feature branch environment. - For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot").
Questions file location: Store the questions file inside the feature spec folder at
FEATURE_DIR/questions.md(NOT in a separatespecs/questions/directory). The questions are part of the feature's decision record and should travel with the feature spec. IfFEATURE_DIRpoints to a.specify/systems/<system>/features/<feature>/path, use that directly. If clarify is run multiple times, append new questions to the existing file with a### Session YYYY-MM-DDtimestamp header rather than overwriting.
1.5. Check for existing unanswered questions. After resolving FEATURE_DIR, check if FEATURE_DIR/questions.md exists. If it does, scan for unanswered questions — lines matching **Answer**: ___ or **Answer:** followed by only whitespace/underscore.
If unanswered questions exist: Skip the spec ambiguity scan (steps 2-3) and enter the Interactive Answer Collection flow below. This handles the case where /smith-new generated a questions.md during the planning phase and the user wants to answer them conversationally.
If no questions.md exists, or all questions are already answered: Proceed with the normal spec ambiguity scan (steps 2-4).
Interactive Answer Collection (for existing questions.md)
When a questions.md file exists with unanswered questions, walk through each one interactively:
A. Parse questions.md — extract all question blocks. Each block has: question number, topic, context, question text, options table, recommended answer, and current answer status.
B. For each unanswered question, present it one at a time:
Display in this format:
## Question [N] of [Total]: [Topic]
**Context:** [Quote from plan/spec that raises this question]
**Question:** [The specific implementation decision]
**Options:**
| Option | Description | Implications |
|--------|-------------|--------------|
| A | [description] | [pros: ..., cons: ...] |
| B | [description] | [pros: ..., cons: ...] |
| C | [description] | [pros: ..., cons: ...] |
**Recommended:** [Option letter] — [Clear reasoning for why this is the best choice]
Reply with an option letter (e.g., "A"), say "yes" to accept the recommendation,
type "skip" to defer this question, or provide your own custom answer.
C. Process the user's response:
"yes","recommended", or"rec"→ use the recommended answer- An option letter (
"A","B","C") → use that option's description as the answer "skip"→ mark as**Answer:** SKIPPED — needs follow-up- Anything else → accept as a custom answer verbatim
D. After each answer, immediately:
- Update
questions.md— replace the**Answer**: ___line for that question with**Answer:** [chosen answer] - Confirm to the user:
Saved: Q[N] → [brief answer summary]. ([remaining] questions remaining) - Present the next unanswered question
E. If the session is interrupted before all questions are answered, the questions.md file reflects the current state — answered questions have their answers filled in, unanswered questions still show **Answer**: ___. The user can resume later by running /smith-clarify again (it will pick up where they left off).
F. After all questions are answered (or the user says "done"):
- Update
questions.mdheader — change**Status**: AWAITING ANSWERSto**Status**: ANSWERED(orPARTIALLY ANSWEREDif any were skipped) - Display a summary of all answers:
## Answers Summary | # | Topic | Answer | |---|-------|--------| | Q1 | [topic] | [answer] | | Q2 | [topic] | [answer] | | Q3 | [topic] | SKIPPED | ... - Ask: "Would you like to change any answers before proceeding? Reply with a question number to revise, or 'looks good' to continue."
- If the user wants to change an answer, re-present that question and collect a new answer. Update questions.md.
- Once confirmed, update spec.md with the decisions from the answered questions:
- For each non-skipped answer, identify the relevant section of spec.md and incorporate the decision
- Add or update a
## Implementation Decisionssection in the spec if answers affect implementation approach - Save spec.md
- Suggest next step: "Questions answered and spec updated. Next:
/smith-planto generate the implementation plan."
Log all answers to the vault session log per the Vault Logging section above.
After completing the Interactive Answer Collection, skip to step 8 (Report completion).
-
Load the current spec file. Perform a structured ambiguity & coverage scan using this taxonomy. For each category, mark status: Clear / Partial / Missing. Produce an internal coverage map used for prioritization (do not output raw map unless no questions will be asked).
Functional Scope & Behavior:
- Core user goals & success criteria
- Explicit out-of-scope declarations
- User roles / personas differentiation
Domain & Data Model:
- Entities, attributes, relationships
- Identity & uniqueness rules
- Lifecycle/state transitions
- Data volume / scale assumptions
Interaction & UX Flow:
- Critical user journeys / sequences
- Error/empty/loading states
- Accessibility or localization notes
Non-Functional Quality Attributes:
- Performance (latency, throughput targets)
- Scalability (horizontal/vertical, limits)
- Reliability & availability (uptime, recovery expectations)
- Observability (logging, metrics, tracing signals)
- Security & privacy (authN/Z, data protection, threat assumptions)
- Compliance / regulatory constraints (if any)
Integration & External Dependencies:
- External services/APIs and failure modes
- Data import/export formats
- Protocol/versioning assumptions
Edge Cases & Failure Handling:
- Negative scenarios
- Rate limiting / throttling
- Conflict resolution (e.g., concurrent edits)
Constraints & Tradeoffs:
- Technical constraints (language, storage, hosting)
- Explicit tradeoffs or rejected alternatives
Terminology & Consistency:
- Canonical glossary terms
- Avoided synonyms / deprecated terms
Completion Signals:
- Acceptance criteria testability
- Measurable Definition of Done style indicators
Misc / Placeholders:
- TODO markers / unresolved decisions
- Ambiguous adjectives ("robust", "intuitive") lacking quantification
For each category with Partial or Missing status, add a candidate question opportunity unless:
- Clarification would not materially change implementation or validation strategy
- Information is better deferred to planning phase (note internally)
-
Generate (internally) a prioritized queue of candidate clarification questions (maximum 5). Do NOT output them all at once. Apply these constraints:
- Maximum of 10 total questions across the whole session.
- Each question must be answerable with EITHER:
- A short multiple‑choice selection (2–5 distinct, mutually exclusive options), OR
- A one-word / short‑phrase answer (explicitly constrain: "Answer in <=5 words").
- Only include questions whose answers materially impact architecture, data modeling, task decomposition, test design, UX behavior, operational readiness, or compliance validation.
- Ensure category coverage balance: attempt to cover the highest impact unresolved categories first; avoid asking two low-impact questions when a single high-impact area (e.g., security posture) is unresolved.
- Exclude questions already answered, trivial stylistic preferences, or plan-level execution details (unless blocking correctness).
- Favor clarifications that reduce downstream rework risk or prevent misaligned acceptance tests.
- If more than 5 categories remain unresolved, select the top 5 by (Impact * Uncertainty) heuristic.
-
Sequential questioning loop (interactive):
-
Present EXACTLY ONE question at a time.
-
For multiple‑choice questions:
- Analyze all options and determine the most suitable option based on:
- Best practices for the project type
- Common patterns in similar implementations
- Risk reduction (security, performance, maintainability)
- Alignment with any explicit project goals or constraints visible in the spec
- Present your recommended option prominently at the top with clear reasoning (1-2 sentences explaining why this is the best choice).
- Format as:
**Recommended:** Option [X] - <reasoning> - Then render all options as a Markdown table:
Option Description A B C (add D/E as needed up to 5) Short Provide a different short answer (<=5 words) (Include only if free-form alternative is appropriate) - After the table, add:
You can reply with the option letter (e.g., "A"), accept the recommendation by saying "yes" or "recommended", or provide your own short answer.
- Analyze all options and determine the most suitable option based on:
-
For short‑answer style (no meaningful discrete options):
- Provide your suggested answer based on best practices and context.
- Format as:
**Suggested:** <your proposed answer> - <brief reasoning> - Then output:
Format: Short answer (<=5 words). You can accept the suggestion by saying "yes" or "suggested", or provide your own answer.
-
After the user answers:
- If the user replies with "yes", "recommended", or "suggested", use your previously stated recommendation/suggestion as the answer.
- Otherwise, validate the answer maps to one option or fits the <=5 word constraint.
- If ambiguous, ask for a quick disambiguation (count still belongs to same question; do not advance).
- Once satisfactory, record it in working memory (do not yet write to disk) and move to the next queued question.
-
Stop asking further questions when:
- All critical ambiguities resolved early (remaining queued items become unnecessary), OR
- User signals completion ("done", "good", "no more"), OR
- You reach 5 asked questions.
-
Never reveal future queued questions in advance.
-
If no valid questions exist at start, immediately report no critical ambiguities.
-
-
Integration after EACH accepted answer (incremental update approach):
- Maintain in-memory representation of the spec (loaded once at start) plus the raw file contents.
- For the first integrated answer in this session:
- Ensure a
## Clarificationssection exists (create it just after the highest-level contextual/overview section per the spec template if missing). - Under it, create (if not present) a
### Session YYYY-MM-DDsubheading for today.
- Ensure a
- Append a bullet line immediately after acceptance:
- Q: <question> → A: <final answer>. - Then immediately apply the clarification to the most appropriate section(s):
- Functional ambiguity → Update or add a bullet in Functional Requirements.
- User interaction / actor distinction → Update User Stories or Actors subsection (if present) with clarified role, constraint, or scenario.
- Data shape / entities → Update Data Model (add fields, types, relationships) preserving ordering; note added constraints succinctly.
- Non-functional constraint → Add/modify measurable criteria in Non-Functional / Quality Attributes section (convert vague adjective to metric or explicit target).
- Edge case / negative flow → Add a new bullet under Edge Cases / Error Handling (or create such subsection if template provides placeholder for it).
- Terminology conflict → Normalize term across spec; retain original only if necessary by adding
(formerly referred to as "X")once.
- If the clarification invalidates an earlier ambiguous statement, replace that statement instead of duplicating; leave no obsolete contradictory text.
- Save the spec file AFTER each integration to minimize risk of context loss (atomic overwrite).
- Preserve formatting: do not reorder unrelated sections; keep heading hierarchy intact.
- Keep each inserted clarification minimal and testable (avoid narrative drift).
-
Validation (performed after EACH write plus final pass):
- Clarifications session contains exactly one bullet per accepted answer (no duplicates).
- Total asked (accepted) questions ≤ 5.
- Updated sections contain no lingering vague placeholders the new answer was meant to resolve.
- No contradictory earlier statement remains (scan for now-invalid alternative choices removed).
- Markdown structure valid; only allowed new headings:
## Clarifications,### Session YYYY-MM-DD. - Terminology consistency: same canonical term used across all updated sections.
-
Write the updated spec back to
FEATURE_SPEC. -
Report completion (after questioning loop ends or early termination):
- Number of questions asked & answered.
- Path to updated spec.
- Sections touched (list names).
- Coverage summary table listing each taxonomy category with Status: Resolved (was Partial/Missing and addressed), Deferred (exceeds question quota or better suited for planning), Clear (already sufficient), Outstanding (still Partial/Missing but low impact).
- If any Outstanding or Deferred remain, recommend whether to proceed to
/smith-planor run/smith-clarifyagain later post-plan. - Suggested next command.
Behavior rules:
- If no meaningful ambiguities found (or all potential questions would be low-impact), respond: "No critical ambiguities detected worth formal clarification." and suggest proceeding.
- If spec file missing, instruct user to run
/smith-specifyfirst (do not create a new spec here). - Never exceed 5 total asked questions (clarification retries for a single question do not count as new questions).
- Avoid speculative tech stack questions unless the absence blocks functional clarity.
- Respect user early termination signals ("stop", "done", "proceed").
- If no questions asked due to full coverage, output a compact coverage summary (all categories Clear) then suggest advancing.
- If quota reached with unresolved high-impact categories remaining, explicitly flag them under Deferred with rationale.
Context for prioritization: $ARGUMENTS
Signals
- GitHub stars
- 52
- Forks
- 8
- Last commit
- Jul 2026
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smith-clarify- Source
- github.com/attckdigital/smith